Shuang Li

According to our database, Shuang Li authored at least 32 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Neuro-Symbolic Temporal Point Processes.

Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li

CoRR, 2024

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs.

Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li

CoRR, 2024

Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation.

Yiling Kuang, Chao Yang, Yang Yang, Shuang Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Hawkes Processes with Delayed Granger Causality.

Chao Yang, Hengyuan Miao, Shuang Li

CoRR, 2023

Reinforcement Logic Rule Learning for Temporal Point Processes.

Chao Yang, Lu Wang, Kun Gao, Shuang Li

CoRR, 2023

Introspective Tips: Large Language Model for In-Context Decision Making.

Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2023

Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions.

Chengzhi Cao, Chao Yang, Ruimao Zhang, Shuang Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Imitation Learning of Neural Spatio-Temporal Point Processes.

Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie

IEEE Trans. Knowl. Data Eng., 2022

Learning Temporal Rules from Noisy Timeseries Data.

Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song

CoRR, 2022

Explaining Point Processes by Learning Interpretable Temporal Logic Rules.

Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling.

Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu, Shuang Li, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg

CoRR, 2021

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View.

Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song

CoRR, 2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning.

Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang

CoRR, 2021

2020

Temporal Logic Point Processes.

Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song

Proceedings of the 37th International Conference on Machine Learning, 2020

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes.

Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Statistical Inference, Modeling, and Learning of Point Processes.

Shuang Li

PhD thesis, 2019

Reinforcement Learning of Spatio-Temporal Point Processes.

Shixiang Zhu, Shuang Li, Yao Xie

CoRR, 2019

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.

Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Neural Model-Based Reinforcement Learning for Recommendation.

Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

CoRR, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Learning Temporal Point Processes via Reinforcement Learning.

Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Detecting Changes in Dynamic Events Over Networks.

Shuang Li, Yao Xie, Mehrdad Farajtabar, Apurv Verma, Le Song

IEEE Trans. Signal Inf. Process. over Networks, 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.

Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song

J. Mach. Learn. Res., 2017

Fake News Mitigation via Point Process Based Intervention.

Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha

Proceedings of the 34th International Conference on Machine Learning, 2017

Recurrent Hidden Semi-Markov Model.

Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song

Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Continuous-Time Hidden Markov Models for Event Data.

Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg

Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016

Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits.

Shuang Li, Yao Xie, Le Song

CoRR, 2016

Detecting weak changes in dynamic events over networks.

Shuang Li, Yao Xie, Mehrdad Farajtabar, Le Song

CoRR, 2016

Online seismic event picking via sequential change-point detection.

Shuang Li, Yang Cao, Christina Leamon, Yao Xie, Lei Shi, Wen-Zhan Song

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression.

Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

M-Statistic for Kernel Change-Point Detection.

Shuang Li, Yao Xie, Hanjun Dai, Le Song

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015